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Clinical Trial
. 2020 Aug;360(2):120-128.
doi: 10.1016/j.amjms.2020.05.038. Epub 2020 Jun 1.

Clinical Characteristics and Predictors of Disease Progression in Severe Patients with COVID-19 Infection in Jiangsu Province, China: A Descriptive Study

Affiliations
Clinical Trial

Clinical Characteristics and Predictors of Disease Progression in Severe Patients with COVID-19 Infection in Jiangsu Province, China: A Descriptive Study

Mao Huang et al. Am J Med Sci. 2020 Aug.

Erratum in

  • Erratum.
    [No authors listed] [No authors listed] Am J Med Sci. 2020 Oct;360(4):430. doi: 10.1016/j.amjms.2020.07.028. Epub 2020 Jul 30. Am J Med Sci. 2020. PMID: 32826043 Free PMC article. No abstract available.

Abstract

Background: We studied patients with coronavirus disease 2019 (COVID-19) infected by severe acute respiratory syndrome coronavirus 2, a virus that originated in Wuhan, China, and is spreading over the country including Jiangsu Province. We studied the clinical characteristics and therapies of severe cases in Jiangsu Province.

Methods: A multicenter retrospective cohort study was conducted to analyze clinical, laboratory data and treatment of 60 severe cases with COVID-19 infection in Jiangsu Province between January 24, 2020 and April 20, 2020. The improvement and deterioration subgroups were compared to identify predictors of disease progression.

Results: A total of 653 infected cases with COVID-19 were reported in Jiangsu Province, of which 60 severe cases were included in this study. Up until April 20, 2020, the mortality of severe patients was 0%. The median age was 57 years. The average body mass index of these patients was 25 kg/m². White blood cell counts decreased in 45.0% of patients, lymphopenia in 63.3%, thrombocytopenia in 13.3% and procalcitonin levels in 88.3% of the patients were less than 0.5 ng/mL. There were no statistically significant differences in immunoglobulin therapy and GCs therapy between the improvement and deterioration subgroups. Logistic regression analysis identified higher levels of troponin T (odds ratio [OR]: 1.04; 95% confidence interval [CI]: 1.00-1.08; P = 0.04), antiviral therapy with aerosol inhalation of interferon (OR: 6.33; 95% CI: 1.18-33.98; P = 0.03), and the application of non-invasive mechanical ventilation (OR: 1.99; 95%CI: 1.17-3.41; P = 0.01) as predictors of disease progression, whereas higher lymphocyte count (OR: 0.11; 95% CI: 0.02-0.57; P = 0.01) and early prone ventilation were associated with improvement (OR: 0.11; 95% CI: 0.01-0.98; P = 0.04).

Conclusions: COVID-19 infection had a low mortality rate in Jiangsu Province, China. The higher levels of troponin T and lower lymphocyte count were predictors of disease progression. Early prone ventilation may be an effective treatment for severe cases.

Keywords: COVID-19; Critical care; Disease progression; Severe patients.

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Figures

FIGURE 1
FIGURE 1
Patient recruitment flow chart in China. Shown are the official statistics of all documented laboratory-confirmed cases throughout China according to the National Health Commission (as of April 20, 2020).
FIGURE 2
FIGURE 2
The representative radiologic findings of a severe COVID-19 patient. A: The early stage; B: The deterioration stage.
FIGURE 3
FIGURE 3
The tendency chart of patients' oxygenation index on the 1st, 3rd, 5th and 7th days after the prone ventilation. Abbreviations: PaO2, partial pressure of arterial oxygen; FiO2, fraction of inspiration O2.

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